1 /*
2 * Copyright (c) 2023 Huawei Device Co., Ltd.
3 * Licensed under the Apache License, Version 2.0 (the "License");
4 * you may not use this file except in compliance with the License.
5 * You may obtain a copy of the License at
6 *
7 * http://www.apache.org/licenses/LICENSE-2.0
8 *
9 * Unless required by applicable law or agreed to in writing, software
10 * distributed under the License is distributed on an "AS IS" BASIS,
11 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 * See the License for the specific language governing permissions and
13 * limitations under the License.
14 */
15
16 #include "constant_of_shape_builder.h"
17
18 namespace OHOS {
19 namespace NeuralNetworkRuntime {
20 namespace Ops {
21 static const int INPUT_NUM = 1;
22 static const int OUTPUT_NUM = 1;
23 static const int PARAM_MAX_NUM = 2;
24 static const int SCALAR_LENGTH = 1;
25 static const std::string OP_NAME = "ConstantOfShape";
26
ConstantOfShapeBuilder()27 ConstantOfShapeBuilder::ConstantOfShapeBuilder() {}
28
~ConstantOfShapeBuilder()29 ConstantOfShapeBuilder::~ConstantOfShapeBuilder() {}
30
SetDataType(const std::shared_ptr<NNTensor> & tensor)31 OH_NN_ReturnCode ConstantOfShapeBuilder::SetDataType(const std::shared_ptr<NNTensor>& tensor)
32 {
33 if (tensor->GetDataType() != OH_NN_INT64) {
34 LOGE("[ConstantOfShape] The dataType should be type OH_NN_INT64.");
35 return OH_NN_INVALID_PARAMETER;
36 }
37
38 if (tensor->GetElementCount() != SCALAR_LENGTH) {
39 LOGE("[ConstantOfShape] The dataType should be scalar.");
40 return OH_NN_INVALID_PARAMETER;
41 }
42
43 void* buffer = tensor->GetBuffer();
44 if (buffer == nullptr) {
45 LOGE("[ConstantOfShape] Tensor buffer is nullptr.");
46 return OH_NN_INVALID_PARAMETER;
47 }
48 m_dataType = *static_cast<const int64_t*>(buffer);
49
50 return OH_NN_SUCCESS;
51 }
52
SetValue(const std::shared_ptr<NNTensor> & tensor)53 OH_NN_ReturnCode ConstantOfShapeBuilder::SetValue(const std::shared_ptr<NNTensor>& tensor)
54 {
55 if (tensor->GetDataType() != OH_NN_FLOAT32) {
56 LOGE("[ConstantOfShape] The value should be type OH_NN_FLOAT32.");
57 return OH_NN_INVALID_PARAMETER;
58 }
59
60 m_value.clear();
61
62 void* buffer = tensor->GetBuffer();
63 if (buffer == nullptr) {
64 LOGE("[ConstantOfShape] Tensor buffer is nullptr.");
65 return OH_NN_INVALID_PARAMETER;
66 }
67
68 float* pValue = static_cast<float*>(buffer);
69
70 uint32_t elementCount = tensor->GetElementCount();
71 for (uint32_t i = 0; i < elementCount; ++i) {
72 m_value.emplace_back(*pValue);
73 ++pValue;
74 }
75 return OH_NN_SUCCESS;
76 }
77
Build(const std::vector<uint32_t> & paramsIndex,const std::vector<uint32_t> & inputsIndex,const std::vector<uint32_t> & outputsIndex,const std::vector<std::shared_ptr<NNTensor>> & allTensors)78 OH_NN_ReturnCode ConstantOfShapeBuilder::Build(const std::vector<uint32_t>& paramsIndex,
79 const std::vector<uint32_t>& inputsIndex,
80 const std::vector<uint32_t>& outputsIndex,
81 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
82 {
83 if (m_isBuild) {
84 LOGE("[ConstantOfShape] Build failed, the constantOfShape operation has been build. cannot build again.");
85 return OH_NN_OPERATION_FORBIDDEN;
86 }
87
88 auto ret = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
89 if (ret != OH_NN_SUCCESS) {
90 LOGE("[ConstantOfShape] Build failed, passed invalid input or output index.");
91 return ret;
92 }
93
94 m_inputsIndex = inputsIndex;
95 m_outputsIndex = outputsIndex;
96
97 ret = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
98 if (ret != OH_NN_SUCCESS) {
99 LOGE("[ConstantOfShape] Build failed, passed invalid invalid index.");
100 return ret;
101 }
102
103 for (int i : paramsIndex) {
104 std::shared_ptr<NNTensor> tensor = allTensors[i];
105 tensor->IdentifyOpParameter();
106 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
107 ret = (this->*(m_paramMap[tensor->GetType()]))(tensor);
108 } else {
109 LOGE("[ConstantOfShape] Build failed, param invalid, type=%d", tensor->GetType());
110 return OH_NN_INVALID_PARAMETER;
111 }
112
113 if (ret != OH_NN_SUCCESS) {
114 LOGE("[ConstantOfShape] Build failed, passed invalid param.");
115 return ret;
116 }
117 }
118
119 m_name = OP_NAME;
120 m_isBuild = true;
121 return OH_NN_SUCCESS;
122 }
123
GetPrimitive()124 LiteGraphPrimitvePtr ConstantOfShapeBuilder::GetPrimitive()
125 {
126 if (!m_isBuild) {
127 LOGE("[ConstantOfShape] GetPrimitive failed, cannot get primitive before call build.");
128 return {nullptr, DestroyLiteGraphPrimitive};
129 }
130
131 void* primitive = mindspore::lite::MindIR_ConstantOfShape_CreatePrimitive(m_dataType, m_value);
132 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive) ;
133 return graphPrimitivePtr;
134 }
135
136 REGISTER_OPS(ConstantOfShapeBuilder, OH_NN_OPS_CONSTANT_OF_SHAPE);
137 } // namespace Ops
138 } // namespace NeuralNetworkRuntime
139 } // namespace OHOS
140